Results 161 to 170 of about 4,076,696 (296)

Real‐world effectiveness and safety of secukinumab in giant cell arteritis: an Italian multicentre cohort study

Arthritis Care &Research, Accepted Article.
Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in giant cell arteritis (GCA) patients. Methods This multicentre retrospective study included patients with GCA who received secukinumab at 14 Italian centres with at least 6 months of follow‐up.
Luca Iorio, Federica Davanzo, Caterina Ricordi, Milena Bond, Ruggiero Mascolo, Jacopo Mora, Alessandro Tomelleri, Angelo Fassio, Francesca Cuzzocrea, Sara Monti, Edoardo Conticini, Fabiola Atzeni, Paolo Delvino, Carlotta Nannini, Augusta Ortolan, Francesco Pollastri, Ester Vivaldelli, Chiara Marvisi, Paola Toniati, Antonio Brucato, Alessandra Milanesi, Francesca Regola, Enrico Tombetti, Lorenzo Dagna, Roberta Ramonda, Christian Dejaco, Luca Quartuccio, Carlo Salvarani, Roberto Padoan, The Italian Society of Rheumatology Vasculitis Study Group   +29 more
wiley   +1 more source

Editorial: Visual Language

Frontiers in Psychology, 2019
Wendy Sandler, Marianne Gullberg, Carol Padden   +2 more
doaj   +1 more source

Editorial: Modality and language acquisition: how does the channel through which language is expressed affect how children and adults are able to learn?

Frontiers in Psychology, 2023
Richard P. Meier, Christian Rathmann, Aaron Shield   +2 more
doaj   +1 more source

A dynamic Malaysian sign language dataset for sign language recognition and translation. [PDF]

Data Brief
Chong YT, Rao YSN, Khan RU, Teh CS, Barawi MH, Sunar MS, Sim JJJ.   +6 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Critical analysis of datasets for sign language translation. [PDF]

Front Artif Intell
Alkain B, Núñez-Marcos A, Escolano C, Docío-Fernández L, Perez-de-Viñaspre O, Labaka G.   +5 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Polar questions in Dutch Sign Language (NGT): A production experiment. [PDF]

PLoS One
Oomen M, Esselink L, Roelofsen F.
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Modality Effectiveness in Cross-Subject Sign Language Recognition: A Skeleton Perspective. [PDF]

Sensors (Basel)
Miao S, He J, Zeng L.
europepmc   +1 more source